Reduce manual work in checking videos of sports games
to find selected fans. Cut costs of personnel and
increase turnaround time to meet user's needs and
Machine learning and computer vision model for accurate
facial recognition, gender detection, appearance quality
detection, and shot detection.
cost saved on manual work
acquisition of new contracts with TV channels
reduced time to process videos from 3 hours to 30 minutes
The low accuracy of NLP parsers for talent search
slowed down the development of the client’s technology
and did not give a competitive edge in the world of ATS.
Data scientists at Broutonlab trained neural networks to
develop an NLP parser that reached a level of accuracy
higher than any open source parser from established
of their customers are Fortune 100
Acquired by a large U.S. investor
Growth in market share
Machine learning and computer vision model for precise recognition of explicit content.
Machine learning and computer vision model for precise
recognition of explicit content.
Increase in revenue
Increase in App Downloads
Many banks and institutions still issue and accept cheques. Cheque transactions take time and require customers
to visit the branch.
Manual work required from bank employees to perform cheque transactions is costly and time-consuming.
Computer vision and deep neural network to scan the handwritten bank cheques and recognize numbers and signatures.
less cost of manual work
increase in App Downloads
The bank increased downloads of the app, reduced time and money for cheques processing.
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